7 citations · 13 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 2 cited
Learning Pairwise Interaction for Generalizable DeepFake Detection
Ying Xu, Kiran Raja, Luisa Verdoliva +1
A fast-paced development of DeepFake generation techniques challenge the detection schemes designed for known type DeepFakes. A reliable Deepfake detection approach must be agnosti…
cs.CV2022★ 4 cited
When Handcrafted Features and Deep Features Meet Mismatched Training and Test Sets for Deepfake Detection
Ying Xu, Sule Yildirim Yayilgan
The accelerated growth in synthetic visual media generation and manipulation has now reached the point of raising significant concerns and posing enormous intimidations towards soc…
cs.CV2022★ 7 cited
Analyzing Fairness in Deepfake Detection With Massively Annotated Databases
Ying Xu, Philipp Terhörst, Kiran Raja +1
In recent years, image and video manipulations with Deepfake have become a severe concern for security and society. Many detection models and datasets have been proposed to detect…